PhD in Informatics, University of Illinois at Urbana Champaign, 2018
MS in Advertising, University of Illinois at Urbana Champaign, 2014
BS in Computer Science, University of Illinois at Urbana Champaign, 2001
Wen, T.J., Chuan, C.H., Anghelcev, G., Sar, S., Yun, J.T., & Xu, Y. (2024). Infusing Affective Computing Models into Advertising Research on Emotions. JOURNAL OF ADVERTISING, 53(5), 710-731.Taylor & Francis. doi: 10.1080/00913367.2024.2409254.
Yun, J.T., & Strycharz, J. (2023). Building the Future of Digital Advertising One Block at a Time: How Blockchain Technology Can Change Advertising Practice and Research. JOURNAL OF CURRENT ISSUES AND RESEARCH IN ADVERTISING, 44(1), 24-37.Taylor & Francis. doi: 10.1080/10641734.2022.2090464.
Donelson, C., Sutter, C., Pham, G.V., Narang, K., Wang, C., & Yun, J.T. (2021). Using a Machine Learning Methodology to Analyze Reddit Posts regarding Child Feeding Information. Journal of Child and Family Studies, 30(5), 1290-1298.Springer Nature. doi: 10.1007/s10826-021-01923-5.
Pamuksuz, U., Yun, J.T., & Humphreys, A. (2021). A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning. Journal of Interactive Marketing, 56(1), 1-15.SAGE Publications. doi: 10.1016/j.intmar.2021.05.001.
Sutter, C., Pham, G.V., Yun, J.T., Narang, K., Sundaram, H., & Fiese, B.H. (2021). Food parenting topics in social media posts: Development of a coding system, examination of frequency of food parenting concepts, and comparison across Reddit and Facebook. Appetite, 161, 105137.Elsevier. doi: 10.1016/j.appet.2021.105137.
Yun, J.T., Duff, B.R.L., Vargas, P.T., Sundaram, H., & Himelboim, I. (2020). Computationally Analyzing Social Media Text for Topics: A Primer for Advertising Researchers. Journal of Interactive Advertising, 20(1), 47-59.Taylor & Francis. doi: 10.1080/15252019.2019.1700851.
Yun, J.T., Segijn, C.M., Pearson, S., Malthouse, E.C., Konstan, J.A., & Shankar, V. (2020). Challenges and Future Directions of Computational Advertising Measurement Systems. JOURNAL OF ADVERTISING, 49(4), 446-458.Taylor & Francis. doi: 10.1080/00913367.2020.1795757.
Yun, J.T., Vance, N., Wang, C., Marini, L., Troy, J., Donelson, C., Chin, C.L., & Henderson, M.D. (2020). The Social Media Macroscope: A science gateway for research using social media data. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 111, 819-828.Elsevier. doi: 10.1016/j.future.2019.10.029.
Yun, J.T., Duff, B.R.L., Vargas, P., Himelboim, I., & Sundaram, H. (2019). Can we find the right balance in cause-related marketing? Analyzing the boundaries of balance theory in evaluating brand-cause partnerships. PSYCHOLOGY & MARKETING, 36(11), 989-1002.Wiley. doi: 10.1002/mar.21250.
Yun, J.T., Pamuksuz, U., & Duff, B.R.L. (2019). Are we who we follow? Computationally analyzing human personality and brand following on Twitter. INTERNATIONAL JOURNAL OF ADVERTISING, 38(5), 776-795.Taylor & Francis. doi: 10.1080/02650487.2019.1575106.
Yun, J.T., & Duff, B.R.L. (2017). Is utilizing themes an effective scheme? Choice overload and categorization effects within an extensive online choice environment. COMPUTERS IN HUMAN BEHAVIOR, 74, 205-214.Elsevier. doi: 10.1016/j.chb.2017.04.038.
Wang, C., Marini, L., Chin, C.L., Vance, N., Donelson, C., Meunier, P., & Yun, J.T. (2019). Social Media Intelligence and Learning Environment: an Open Source Framework for Social Media Data Collection, Analysis and Curation. In 2019 15th International Conference on eScience (eScience), 00, (pp. 252-261).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/escience.2019.00035.